How to use the yarl.components.common.noise_components.NoiseComponent function in yarl

super(GaussianNoise, self).__init__(scope=scope, **kwargs)

        self.mean = mean
        self.sd = sd

    def noise(self):
        if backend == "tf":
            return tf.random_normal(
                shape=(1,) + self.action_space.shape,
                mean=self.mean,
                stddev=self.sd,
                dtype=self.action_space.dtype
            )


class ConstantNoise(NoiseComponent):
    """
    Simple constant noise component.
    """
    def __init__(self, value=0.0, scope="constant_noise", **kwargs):
        super(ConstantNoise, self).__init__(scope=scope, **kwargs)

        self.value = value

    def noise(self):
        if backend == "tf":
            return tf.constant(self.value)

DataOp: The noise value.
        """
        return tf.constant(0.0)

    def _graph_fn_value(self):
        """
        Args:
            action (DataOp): The float-type action value.

        Returns:
            DataOp: The noise value.
        """
        return self.noise()


class GaussianNoise(NoiseComponent):
    """
    Simple Gaussian noise component.
    """
    def __init__(self, mean=0.0, sd=1.0, scope="gaussian_noise", **kwargs):
        super(GaussianNoise, self).__init__(scope=scope, **kwargs)

        self.mean = mean
        self.sd = sd

    def noise(self):
        if backend == "tf":
            return tf.random_normal(
                shape=(1,) + self.action_space.shape,
                mean=self.mean,
                stddev=self.sd,
                dtype=self.action_space.dtype

def __init__(self, action_space, scope="noise", **kwargs):
        """

        Args:
            action_space: The action space.
        """
        super(NoiseComponent, self).__init__(scope=scope, **kwargs)

        self.action_space = action_space

        # Our interface.
        self.define_outputs("noise")
        self.add_graph_fn(None, "noise", self._graph_fn_value)